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COSIT 2026: International Conference on Spatial Information Theory

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COSIT
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投稿締切日:
2026-04-17
通知日:
2026-05-15
開催日:
2026-09-22
開催地:
York, UK
開催回数:
17
CCF: C   QUALIS: B1   閲覧: 65605   フォロー: 19   参加: 3

会伴インデックス (CP-I)

65.5 / 100
全 5,683 件中 第 420 位 · 上位 8%

理論・アルゴリズム 分野 142 件中 第 30 位

学術的評価 (35%)
78
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
78
コミュニティの注目度 (10%)
51
公開情報の充実度 (15%)
50

使用した入力: 収録ランク：CCF C, QUALIS B1 · 確認できる開催回数：17 · 会伴でフォローしている研究者：19 人 · 過去 24 か月にこのページを開いた研究者：18 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-21

論文募集

COSIT 2026 (International Conference on Spatial Information Theory) is a CCF C / QUALIS B1 conference held in York, UK on 2026-09-22. The paper submission deadline is 2026-04-17. Acceptance notifications are sent on 2026-05-15.

We are delighted to announce that the 17th edition of the Conference on Spatial Information Theory (COSIT) will be held in York, United Kingdom, from September 22nd to 25th, 2026! Established in 1993, COSIT is a biennial international conference series concerned with theoretical aspects of space and spatial information. Spatial information theory examines how space and the external environment is experienced, represented, and communicated by humans, agents and machines. With the goal of advancing the field of spatial information science and its bordering research areas, work presented at COSIT has explored how decoding and making sense of space shapes human agency in different contexts. Spatial information theory builds on a variety of perspectives on space; it advances computational models of spaces, it challenges consolidated methods in spatial analysis and Geographic Information Science and addresses how cognitive representations of space can be incorporated in formal models of space, at different scales, from geographic to personal space. We welcome contributions from across any areas under the COSIT topics listed below. This COSIT’s edition theme will be Cognition and Flows, recognising the value of considering the cognitive foundations of human behaviour and their role in shaping large-scale geographic flows and interactions. Given the growing wealth in large, detailed behavioural and environmental data capturing the real world, never have we had such opportunity to close the gap between our understanding of human spatial behaviour and aggregated flows e.g., mobility, migration, inequalities, economic activity, spread of information, etc. In addition to any topics related to spatial information and cognition, we particularly encourage submissions that explore how cognition and behaviour shape the production of flows, their evolution, and ultimately influence the nature of spaces and societies. COSIT Topics COSIT is an intensive, single-track conference held over four days, featuring paper presentations and special thematic sessions. It presents original research that spans a wide range of interdisciplinary topics, such as spatial cognition, wayfinding and navigation, spatial reasoning, place and space, human computer interaction, intelligent agents, urban analytics and their interactions with other disciplines, including spatial analysis, Geographic Information Science, neuroscience, cartography, philosophy of mind, and computer science. We welcome contributions covering conference-relevant topics, such as but not limited to: activity-based models of spatial knowledge behavioural and cognitive geography cartography and geographic visualisation causal and statistical models of space cognitive representations of geographic information cognitive aspects of urban and transport analysis concepts of spatial information, such as fields, objects, events, networks, and processes context awareness in physical and social spaces experienced and perceived spatial phenomena (e.g. liveability, walkability) explainable geospatial artificial intelligence (GeoAI) and spatially informed AI imagery data and spatial representation knowledge representation for space and time large-language models (LLMs) and foundation models (FMs), and their utility in spatial cognition and representation natural (human) language descriptions of space and place navigation, wayfinding, and mobility of sentient beings and robots ontology of space and time place and spatial information theory social and cultural organisation of space spatial agent-based simulations of human and social phenomena spatial and temporal language spatial cognition and neuroscience spatial decision support, impact of model design spatial information retrieval and encoding of geographic texts spatial learning and knowledge acquisition spatial storytelling and interactive narratives theory and practice of spatial and temporal reasoning validity of spatial information methods
最終更新：Dou Sun（）

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